Results 101 to 110 of about 10,069,733 (332)

Possible Digraphs Structures Corresponding to Characteristic Polynomial

open access: yes, 2017
The dataset contains all possible digraphs structures in class K1 corresponding to the one-dimensional characteristic ...
Konrad Andrzej Markowski (7000025)
core   +2 more sources

A component map adaptation method for compressor modeling and diagnosis

open access: yesAdvances in Mechanical Engineering, 2018
The accuracy of model-based gas turbine performance prediction, diagnosis, and prognosis is mainly determined by the precision of compressor thermodynamic model.
Xu Li   +3 more
doaj   +1 more source

Secure outsourced computation of the characteristic polynomial and eigenvalues of matrix

open access: yesJournal of Cloud Computing, 2015
Linear algebra plays an important role in computer science, especially in cryptography. Numerous cryptographic protocols and scientific computations are based on linear algebra, which can be reduced to some core problems, such as matrix multiplication ...
Xing Hu, Chunming Tang
semanticscholar   +1 more source

On Characteristic Polynomials of Subspace Arrangements

open access: yesJournal of Combinatorial Theory, Series A, 2000
Let \(V\) be a vector space over a field or division ring, and let \(\mathcal A\) be an arrangement of affine subspaces in \(V\). Let \(L({\mathcal A})\) be the set of nonempty intersections of subspaces in \(\mathcal A\), partially ordered by inclusion. The characteristic polynomial of \(\mathcal A\) is defined by \[ \chi({\mathcal A},q)=\sum_{X\in L}
openaire   +3 more sources

On coefficients of circuit polynomials and characteristic polynomials [PDF]

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1985
Results are given from which expressions for the coefficients of the simple circuit polynomial of a graph can be obtained in terms of subgraphs of the graph. From these are deduced parallel results for the coefficients of the characteristic polynomial of a graph.
openaire   +3 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

The averaged characteristic polynomial for the Gaussian and chiral Gaussian ensembles with a source [PDF]

open access: yes, 2012
In classical random matrix theory the Gaussian and chiral Gaussian random matrix models with a source are realized as shifted mean Gaussian, and chiral Gaussian, random matrices with real (β = 1), complex (β = 2) and real quaternion (β = 4) elements.
P. Forrester
semanticscholar   +1 more source

The characteristic polynomial of a graph

open access: yes, 1972
The present paper is addressed to the problem of determining under what conditions the characteristic polynomial of the adjacency matrix of a graph distinguishes between non-isomorphic graphs.
Mowshowitz, Abbe
core   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

open access: yesAdvanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell   +3 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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